Richard Liaw
Employers on the program
- 2022Anyscale2 talks
- 2019UC Berkeley1 talk
Events3
Conferences3
Talks41 keynote
Years active2019–2022
Miles between events3472 in-person events · 1 countryAppearances by year
- PyCon (national Python conferences)
- PyData
- Ray Summit
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Aug 22, 2022 | Ray Summit 2022 | Ray Summit | keynote | Untitled as Anyscale | |
| Aug 22, 2022 | Ray Summit 2022 | Ray Summit | speaker | Introducing Ray AI Runtime as Anyscale | |
| Apr 15, 2020 | PyCon US 2020 (Online) | PyCon (national Python conferences) | speaker | Distributed Hyperparameter Tuning: A GuideModern deep learning model performance is very dependent on the choice of model hyperparameters, and the tuning process is a major bottleneck in the machine…Show lessModern deep learning model performance is very dependent on the choice of model hyperparameters, and the tuning process is a major bottleneck in the machine learning pipeline. | |
| Dec 3, 2019 | PyData Los Angeles 2019 | PyData | speaker | A Guide to Modern Hyperparameter Tuning Algorithms as UC Berkeley Modern deep learning model performance is very dependent on the choice of model hyperparameters, and the tuning process is a major bottleneck in the machine…Show lessModern deep learning model performance is very dependent on the choice of model hyperparameters, and the tuning process is a major bottleneck in the machine learning pipeline. | Video |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Eric Liang | 1 | 1 | 2022 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.